Multiple Cancer Types Research Articles

Novel immunotherapeutics against LGR5 to target multiple cancer types

We have developed and validated a highly specific, versatile antibody to the extracellular domain of human LGR5 (α-LGR5). α-LGR5 detects LGR5 overexpression in >90% of colorectal cancer (CRC), hepatocellular carcinoma (HCC) and pre-B-ALL tumour cells and was used to generate an Antibody-Drug Conjugate (α-LGR5-ADC), Bispecific T-cell Engager (α-LGR5-BiTE) and Chimeric Antigen Receptor (α-LGR5-CAR). α-LGR5-ADC was the most effective modality for targeting LGR5+ cancer cells in vitro and demonstrated potent anti-tumour efficacy in a murine model of human NALM6 pre-B-ALL driving tumour attrition to less than 1% of control treatment. α-LGR5-BiTE treatment was less effective in the pre-B-ALL cancer model yet promoted a twofold reduction in tumour burden. α-LGR5-CAR-T cells also showed specific and potent LGR5+ cancer cell killing in vitro and effective tumour targeting with a fourfold decrease in pre-B-ALL tumour burden relative to controls. Taken together, we show that α-LGR5 can not only be used as a research tool and a biomarker but also provides a versatile building block for a highly effective immune therapeutic portfolio targeting a range of LGR5-expressing cancer cells.

Clinicopathological and prognostic role of CEP55 expression in cancer patients: A meta‐analysis of 31 studies with 12,543 patients

AbstractBackgroundDysregulated expression of centrosomal protein 55 (CEP55) has been detected in multiple types of cancers. However, the clinical value of CEP55 expression in cancer is controversial. The current meta‐analysis quantitatively investigated the association between CEP55 expression and prognostic outcomes in cancers.MethodsA literature search was performed using the Chinese National Knowledge Infrastructure (CNKI), Wanfang databases, Web of Science, Embase, MEDLINE, PubMed, and Cochrane Library for primary studies. The pooled hazard ratios (HRs) and odds ratios (ORs) were used to investigate the association between CEP55 expression and its prognostic and clinicopathological value in cancers.ResultsA total of 12,543 patients from 31 studies were included in this meta‐analysis. High CEP55 expression was significantly associated with poor differentiation, deeper tumor invasion and increased lymph node metastasis in cancer patients. The pooled results indicated that elevated CEP55 expression can predict a poor overall survival (OS) and disease‐free survival (DFS) in cancers. These results should be interpreted with caution because of publication bias. However, the pooled HR for OS of lung cancers was 1.50 (95% CI = 1.36–1.67, p < 0.01) with no heterogeneity and publication bias.ConclusionsCEP55 overexpression correlated with poor cancer differentiation, deeper tumor invasion, and increased lymph node metastasis, suggesting that CEP55 may serve as a predictive and prognostic biomarker for cancers, especially for lung cancers.

TMEM17 Promotes Tumor Progression in Glioblastoma by Activating the PI3K/AKT Pathway.

Glioblastoma (GBM) is a highly aggressive and fast-growing brain tumor, characterized by rapid progression, a very poor prognosis, and a high likelihood of recurrence. Thus, effective new therapeutic targets are urgently needed. Transmembrane proteins (TMEMs) have pro-cancer effects on multiple cancer types, but the mechanisms underlying the effects of TMEM17, particularly its role in GBM, remain unclear. We conducted bioinformatics analyses and immunohistochemistry to evaluate the role of TMEM17 in a variety of cancer types. Functional assays were conducted included the Cell Counting Kit-8 assay, annexin V-FITC/PI double staining, 5-ethynyl-2'-deoxyuridine (EdU) incorporation assay, wound healing assay, transwell invasion assay, and dual luciferase assay. We found that TMEM17 is associated with a poor prognosis in GBM. Prognostic analyses confirmed that high TMEM17 expression predicted poorer survival, establishing its significance as an independent prognostic factor. Functional assays demonstrated that silencing TMEM17 in GBM cell lines inhibited proliferation and invasion, and induced apoptosis, underscoring its role in tumor aggressiveness. From a mechanistic perspective, we discovered that the Ying Yang 1 (YY1) transcription factor can bind to the promoter of TMEM17, regulating its upregulation. Regarding downstream mechanisms, knocking down TMEM17 inhibited the phosphoinositide 3-kinase/AKT pathway. These findings suggest that TMEM17 plays a significant role in GBM and may be a potential therapeutic target for this cancer. These data prove that TMEM17 plays a key role in the regulation of GBM and has great potential as a clinical therapeutic target for GBM.

ZNF468-mediated epigenetic upregulation of VEGF-C facilitates lymphangiogenesis and lymphatic metastasis in ESCC via PI3K/Akt and ERK1/2 signaling pathways.

Dysfunctional lymphangiogenesis is pivotal for various pathological processes including tumor lymph node metastasis which is a crucial cause of therapeutic failure for ESCC. In this study, we aim to elucidate the molecular mechanisms and clinical relevance of Zinc-finger protein ZNF468 in lymphangiogenesis and lymphatic metastasis in ESCC. Immunohistochemistry, Western blot, Kaplan-Meier plotter analysis and Gene Set Enrichment Analysis were preformed to detect the association of ZNF468 with lymphangiogenesis and poor prognosis in ESCC patients. Foot-pads lymph node metastasis model, tube formation assay, 3D-culture assay and invasion assay were preformed to verify the effect of ZNF468 on lymphangiogenesis and lymph node metastasis. CUT&Tag analysis, immunoprecipitation and mass spectrometry analysis and ChIP-PCR assay were preformed to study the molecular mechanisms of ZNF468 in lymphangiogenesis. We found that ectopic expression of ZNF468 was correlated with higher microlymphatic vessel density in ESCC tissues, leading to poorer prognosis of ESCC patients. ZNF468 enhanced the capacity of lymphangiogenesis and promoted lymphatic metastasis in ESCC both in vitro and in vivo. However, silencing ZNF468 reversed these phenotypes in ESCC. Mechanically, we demonstrated that ZNF468 recruits the histone modification factors (PRMT1/HAT1) to increase the levels of H4R2me2a and H3K9ac, which then leads to the recruitment of the transcription initiation complex on the VEGF-C promoter, ultimately promoting the upregulation of VEGF-C transcription. Strikingly, the promoting effect of lymphatic metastasis induced by ZNF468 in ESCC was abrogated by targeting PRMT1 using Arginine methyltransferase inhibitor-1 or silencing VEGF-C. Furthermore, we found that the activation of PI3K/AKT and ERK1/2 signaling is required for ZNF468-medicated lymphatic metastasis in ESCC. Importantly, the clinical relevance between ZNF468 and VEGF-C were confirmed not only in ESCC samples and but also in multiple cancer types. Our results identified a precise mechanism underlying ZNF468-induced epigenetic upregulation of VEGF-C in facilitating lymphangiogenesis and lymph node metastasis of ESCC, which might provide a novel prognostic biomarker and potential therapeutic for ESCC patients.

Immune checkpoint inhibitors for patients with mismatch-repair deficient or microsatellite instability-high advanced cancers: a meta-analysis of phase I-III clinical trials.

Mismatch-repair deficient (dMMR) and microsatellite instability-high (MSI-H) cancers are associated with an increased number of somatic mutations, which can render tumors more susceptible to immune checkpoint blockade. However, a comprehensive evaluation of the efficacy profile of immune checkpoint inhibitors in this patient population across multiple cancer types is lacking. This study aims to address this knowledge gap by synthesizing data from Phase I-III clinical trials. A systematic search was conducted in PubMed, Embase, the Cochrane Central Register of Controlled Trials and Google Scholar from inception until June, 2024. Eligible studies included randomized controlled trials (RCTs), non-randomized comparative studies, and single-arm trials investigating immune checkpoint inhibitors in patients with dMMR/MSI-H advanced cancers. The primary outcome was objective response rate (ORR), and the secondary outcomes included disease control rate (DCR), 1-year, 2-year, and 3-year overall survival (OS) and progression-free survival (PFS) rates. Subgroup analyses were conducted for the primary outcome stratified by major study characteristics. Of the 10802 identified studies, 19 trials in 25 studies totaling 2052 participants met the inclusion criteria and were included in the meta-analysis. The pooled ORR was 41.7% (95% CI, 35.7%-47.7%). The pooled DCR was 68.9% (95% CI, 62.2%-75.7%). The pooled 12-month, 24-month and 36-month OS rates were 29.1% (95% CI, 19.9%-38.3%), 35.8% (95% CI, 23.6%-48.0%), and 35.8% (95% CI, 23.6%-48.0%), respectively. The pooled 12-month, 24-month and 36-month PFS rates were 46.4% (95% CI, 39.1%-53.8%), 67.0% (95% CI, 55.2%-78.8%), and 63.1% (95% CI, 37.3%-88.9%), respectively. The study establishes the therapeutic potential of immune checkpoint inhibitors in dMMR/MSI-H advanced cancers, highlighting the importance of MSI status in this context. Further head-to-head comparisons are needed to conclusively determine MSI's predictive power relative to proficient mismatch-repair/ microsatellite stable (pMMR/MSS) tumors.

Comprehensive analysis of paraspeckle-associated gene modules unveils prognostic signatures and immunological relevance in multi-cancers

BackgroundHepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, characterized by high rates of angiogenesis and immune evasion. Paraspeckle genes, involved in gene regulation and RNA metabolism, have recently been linked to tumor progression. This study aims to elucidate the relationship between paraspeckle genes and HCC prognosis, focusing on SFPQ, DDX39B, and UBAP2.MethodsWe analyzed HCC (LIHC) and prostate cancer (PRAD) samples from the TCGA database to explore the correlation between paraspeckle genes and angiogenesis. We conducted unsupervised clustering, risk scoring, and survival analysis to identify distinct patient groups and their clinical outcomes. Gene expression data were used to perform differential analysis and Gene Ontology (GO) enrichment.ResultsOur analysis identified significant correlations between paraspeckle genes and angiogenesis across multiple cancer types. Elevated expression levels of SFPQ, DDX39B, and UBAP2 were associated with poor prognosis in HCC patients, and all of them has statistical significance. Unsupervised clustering of HCC samples based on paraspeckle gene expression revealed two distinct clusters, with high-risk patients exhibiting stronger immune suppression and tumor immune evasion. GO enrichment highlighted critical pathways related to angiogenesis and immune regulation. Additionally, a risk scoring model based on these genes effectively distinguished high-risk and low-risk patient groups, providing valuable prognostic insights.ConclusionThis study demonstrates that SFPQ, DDX39B, and UBAP2 are significantly associated with poor prognosis in HCC, likely due to their roles in promoting angiogenesis and immune suppression. These findings highlight the potential of paraspeckle genes as prognostic biomarkers and therapeutic targets, offering new avenues for personalized treatment strategies in HCC. Further research into their functional mechanisms and clinical applicability is crucial for advancing HCC treatment and improving patient outcomes.

Real-world insights from comprehensive genomic profiling across multiple cancer types.

106 Background: This retrospective study was conducted to analyze tumor tissue profiling data to assess the potential of applying comprehensive genomic profiling (CGP) in patient care across diverse solid tumors. Methods: Patients with newly diagnosed or recurrent stage IIIB or IV lung adenocarcinoma with the null immunophenotype, esophageal, gastric, pancreatic, or bile duct cancer between January 2020 and July 2023 at two medical centers in Taiwan were included in the National Biobank Consortium of Taiwan project. The tumor samples were subjected to CGP using FoundationOneCDx, with therapeutic implications determined using OncoKB classification. Results: FoundationOneCDx testing of 574 patients was successful in 456 (79.4%) patients. Clinically actionable genomic alterations were detected in 21.1% (96/456) of the patients, including 17.5%, 2.9%, and 0.7% of patients at evidence levels 1, 2, and 3, respectively. Lung adenocarcinoma accounted for the largest proportion of samples with at least one actionable gene alteration (63.2%), followed by bile duct (26.9%), gastric (17.6%), esophageal (4.0%), and pancreatic (3.1%) cancer. Based on the CGP results, 43 patients (9.4%) received matched targeted therapy. The median overall survival of patients who received matched therapy or not was 26.1 months (95% confidence interval (CI), 16.7–35.5 months) and 10.6 months (95% CI, 8.1–13.1 months; hazard ratio, 0.28, 95% CI, 0.14–0.55, p < 0.001), respectively. Conclusions: This study provides comprehensive insights into genomic profiling across diverse cancers in Taiwan, highlighting the crucial role of CGP in identifying actionable genomic alterations and guiding effective therapeutic strategies in real-world practice.

A pan-tumor description of the genomic, transcriptomic, and immunological landscape of sodium-glucose cotransporter-2 (SGLT2) and association with clinical outcomes.

104 Background: SGLT2 has been identified as being overexpressed in a diverse set of cancers. Retrospective data has demonstrated a correlation between the use of SGLT2 inhibitors and a reduced incidence of lung cancer. We explored the association of SGLT2-coding gene SLC5A2 with the transcriptomic, genomic, immunological landscape and outcomes in a subset of solid tumors. Methods: Breast ([N = 5623], HR+HER2- [6044] or TNBC [3040]), Colorectal carcinoma (CRC, 15425), NSCLC ([21603], Adenocarcinoma [AC, 8180] or Squamous Cell Carcinoma [SCC, 3579]), Pancreatic (Panc: 5488) and Prostate (PC: 5500) tumors were tested at Caris Life Sciences (Phoenix, AZ) with NextGen Sequencing on DNA (592 genes or whole exome) and RNA (whole transcriptome). PD-L1+ (22C3: TPS 1% for lung or SP142: 2+, 5% all other), Her2/Neu (+: ≥3+ and > 10%) and HR (ER or PR+: ≥1+ and ≥1%) expression was assessed by IHC. Mutations were defined as pathogenic SNVs/indels (-Mt). SLC5A2-H and -L expression (transcripts per million, TPM) was defined by cancer type as top and bottom quartile, respectively. Cell infiltration was estimated by QuantiSEQ. A transcriptomic signature predictive of response to immunotherapy was applied (T cell-inflamed). The Mann-Whitney U test was applied as appropriate (p < .05, adjusted for multiple comparisons). Real-world overall survival (OS) was obtained from insurance claims and Kaplan-Meier estimates were calculated for molecularly defined patients. Results: SLC5A2 expression varied across cohorts (TNBC: 1.2 TPM, HR+HER2-BC: 1.7, CRC: 2.2, AC: 1.8, SCC: 1.3, Panc: 1.7, PC: 1.7, p < .05). SLC5A2-H had a higher prevalence of FGF3 amplifications in HR+HER2- BC (17.4% -H v 10.4 -L), CRC (1.4 v .45) and PC (4.4 v .89, p < .05 all). KRAS-Mt was more prevalent in SLC5A2-L CRC (41% v 53) as was BRAF-Mt (6 v 14, p < .05 all). There was a lower prevalence of PDL1+ in SLC5A2-H for HR+HER- BC (14% -H v 24 -L), CRC (2 v 6), AC (47 v 68), SCC (50 v 66) and Panc (10 v 19, p < .05 all). All SLC5A2-H tumors had increased Neutrophil, B, NK cell infiltrate (Table) and an increased prevalence of T cell-inflamed tumors (p < .05, all). SLC5A2-H had longer OS v -L in CRC (HR .82 [.76-.88], p <.001), PC (HR .85 [.74-.99], p =.03), HR+HER2- BC (HR .79 [.68-.91], p < .001) and AC (HR .79 [.73-.85], p < .001). Conclusions: SCL5A2-H across all investigated tumors was associated with increased immune infiltrate and a T cell-inflamed phenotype in addition to improved survival in multiple cancer types. Future research on SGLT2 should delineate its role in cancer formation versus its association as a potential positive prognostic marker. [Table: see text]

Comprehensive pan-cancer analysis of ZNF337 as a potential diagnostic, immunological, and prognostic biomarker

BackgroundZinc Finger Protein 337 (ZNF337) is a novel Zinc Finger (ZNF) protein family member. However, the roles of ZNF337 in human cancers have not yet been investigated.MethodsIn this study, with the aid of TCGA databases, GTEx databases, and online websites, we determined the expression levels of ZNF337 in pan-cancer and its potential value as a diagnostic and prognostic marker for pan-cancer and analyzed the relationship between ZNF337 expression and immune cell infiltration and immune checkpoint genes. We then focused our research on the potential of ZNF337 as a biomarker for diagnostic and prognostic in KIRC (kidney renal clear cell carcinoma) and validated in the E-MTAB-1980 database. Moreover, the expression of ZNF337 was detected through qRT-PCR and Western blotting (WB). CCK-8 experiment, colony formation experiment, and EDU experiment were performed to evaluate cell proliferation ability. Wound healing assay and transwell assay were used to analyze its migration ability. The qRT-PCR and WB were used to detect the expression of ZNF337 in tumor tissues and paracancerous tissues of KIRC patients.ResultsThe pan-cancer analysis revealed that abnormal ZNF337 expression was found in multiple human cancer types. ZNF337 had a high diagnostic value in pan-cancer and a significant association with the prognosis of certain cancers, indicating that ZNF337 may be a valuable prognostic biomarker for multiple cancers. Further analysis demonstrated that the expression level of ZNF337 displayed significant correlations with cancer-associated fibroblasts, immune cell infiltration, and immune checkpoint genes in many tumors. Additionally, ZNF337 was observed to have a high expression in KIRC. Its expression was significantly associated with poor prognosis [overall survival (OS), disease-specific survival (DSS)], age, TNM stage, histologic grade, and pathologic stage. The high ZNF337 expression was associated with poor prognosis in the E-MTAB-1980 validation cohort. The in vitro experiments suggested that the expression of ZNF337 in KIRC tumor tissues was higher than in adjacent tissues, and ZNF337 knockdown inhibited the proliferation and migration of KIRC cells, whereas overexpression of ZNF337 had the opposite effects.ConclusionsZNF337 might be an important prognostic and immunotherapeutic biomarker for pan-cancer, especially in KIRC.

GRB7 Plays a Vital Role in Promoting the Progression and Mediating Immune Evasion of Ovarian Cancer.

Despite breakthroughs in treatment, ovarian cancer (OC) remains one of the most lethal gynecological malignancies, with an increasing age-standardized mortality rate. This underscores an urgent need for novel biomarkers and therapeutic targets. Although growth factor receptor-bound protein 7 (GRB7) is implicated in cell signaling and tumorigenesis, its expression pattern and clinical implications in OC remain poorly characterized. To systematically investigate GRB7's expression in OC, our study utilized extensive datasets from TCGA, GTEx, CCLE, and GEO. The prognostic significance of GRB7 was evaluated by means of Kaplan-Meier and Cox regression analyses. Using a correlation analysis and gene set enrichment analysis, relationships between GRB7's expression and gene networks, immune cell infiltration and immunotherapy response were investigated. In vitro experiments were conducted to confirm GRB7's function in the biology of OC. Compared to normal tissues, OC tissues exhibited a substantial upregulation of GRB7. Reduced overall survival, disease-specific survival, and disease-free interval were all connected with high GRB7 mRNA levels. The network study demonstrated that GRB7 is involved in pathways relevant to the course of OC and has a positive connection with several key driver genes. Notably, GRB7's expression was linked to the infiltration of M2 macrophage and altered response to immunotherapy. Data from single-cell RNA sequencing data across multiple cancer types indicated GRB7's predominant expression in malignant cells. Moreover, OC cells with GRB7 deletion showed decreased proliferation and migration, as well as increased susceptibility to T cell-mediated cytotoxicity. With respect to OC, our results validated GRB7 as a viable prognostic biomarker and a promising therapeutic target, providing information about its function in tumorigenesis and immune modulation. GRB7's preferential expression in malignant cells highlights its significance in the biology of cancer and bolsters the possibility that it could be useful in enhancing the effectiveness of immunotherapy.

Pan-cancer analysis of immune checkpoint receptors and ligands in various cells in the tumor immune microenvironment.

Drugs that target immune checkpoint have become the most popular weapon in cancer immunotherapy, yet only have practical benefits for a small percentage of patients. Tumor cells constantly interact with their microenvironment, which is made up of a variety of immune cells as well as endothelial cells and fibroblasts. Immune checkpoint expression and blocked signaling of immune cells in the tumor microenvironment (TME) are key to tumor progression. In this study, we perform deliberation convolution on the TCGA database for human lung, breast, and colorectal cancer to infer crosstalk between immune checkpoint receptors (ICRs) and ligands (ICLs) in TME of pan-carcinogenic solid tumor types, validated by flow cytometry. Analysis of immune checkpoints showed that there was little variation between different tumor types. It showed that CD160, LAG3, TIGIT were found to be highly expressed in CD8+ T cells instead of CD4+ T cells, PD-L1, PD-L2, CD86, LGALS9, TNFRSF14, LILRB4 and other ligands were highly expressed on macrophages, FVR, NECTIN2, FGL1 were highly expressed on Epithelial cells, CD200 was highly expressed in Endothelial cells, and CD80 was highly expressed in CD8 High expression on T cells. Overall, our study provides a new resource for the expression of immune checkpoints in TME on various types of cells. Significance: This study provides immune checkpoint expression of immune cells of multiple cancer types to infer immune mechanisms in the tumor microenvironment and provide ideas for the development of new immune checkpoint-blocking drugs.

Bioinformatic Analysis Reveals Bone Marrow Kinase as a Potential Diagnostic and Prognostic Biomarker for Multiple Cancer Types.

Bone marrow kinase, or BMX, is alternatively referred to as endothelial tyrosine kinase (Etk). It plays a vital role in the processes of cell proliferation, survival, immune activation, and the modulation of diverse signaling pathways. Since there are few direct comprehensive studies linkingBMX role with multiple cancers, this study aimed to utilize bioinformatic tools to conduct a comprehensive analysis of BMX across multiple cancers, assessing its potential role. Multiple databases including the Tumor Immune Estimation Resource (TIMER), Gene Expression Profiling Interactive Analysis (GEPIA), and University of Alabama at Birmingham Cancer Data Analysis Portal (UALCAN), have been used to explore BMX expression across different cancers, which has been further validated by using Gene Expression Omnibus (GEO) public datasets. In addition, we used the Kaplan-Meier plotter to estimate overall survival and cBioPortal for genetic alterations analysis. This study accommodates several other analyses like clinical parameters, immune cell infiltration, and DNA promoter methylation profiles to evaluate the general role of BMXin several cancers. Results: The present investigation revealed that the BMX gene expression was significantly downregulated and could serve as an effective diagnostic biomarker in five types of cancers, namely breast invasive carcinoma (BRCA), colon adenocarcinoma (COAD), lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), and rectum adenocarcinoma (READ) (all p < 0.05). Detailed analyses revealed notable downregulation of BMX in various clinical parameters such as age, gender, race, and cancer stage (all p < 0.05). To better understand the immunotherapeutic role of BMX, this investigation further examined the immune infiltration which exhibited positive correlations between BMX expression and the infiltration of immunological cells such as B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells, especially in COAD, LUAD, and LUSC(all p < 0.05).In addition, the present study has demonstrated that diminished BMX gene expression is correlated with an unfavorable prognosis in kidney renal clear cell carcinoma (KIRC), liver hepatocellular carcinoma (LIHC), sarcoma (SARC), and uterine corpus endometrial carcinoma (UCEC); thus BMX gene expression can be used as a prognostic target for these specific cancers. Also, the results showed that the promoter methylation level of BMX was significantly elevated in LUAD and LUSC, whereas it was significantly decreased in BRCA (all p < 0.001). Importantly, our findings of significantly low BMX expression inLUAD and LUSC, along with their methylation profiles suggest that the low expression of BMX across these cancers is due to epigenetic factors. However, genetic alteration analysis revealed that mutations existed in only approximately 2% of the TCGA samples. Our study revealed BMX as a diagnostic biomarker in BRCA, COAD, LUAD, LUSC, and READ and a prognostic biomarker in KIRC, LIHC, SARC, and UCEC. Furthermore, epigenetic variables may have a greater impact on BMX expression levels especially in LUAD and LUSC. This study also emphasized the role of BMX in the infiltration of immune cells, such as B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells, in certain cancers. The BMX expression level highlights the prognostic value and potential therapeutic potential of BMX.

Exercise-downregulated CD300E acted as a negative prognostic implication and tumor-promoted role in pan-cancer.

Breast cancer ranks as one of the most prevalent malignancies among women globally, with increasing incidence rates. Physical activity, particularly exercise, has emerged as a potentially significant modifier of cancer prognosis, influencing tumor biology and patient outcomes. Using a murine breast cancer model, we established a control and an exercise group, where the latter was subjected to 21 days of voluntary running. RNA Sequencing, bioinformatics analysis, pan-cancer analysis, and cell experiments were performed to validate the underlying mechanisms. We observed that exercise significantly reduced tumor size and weight, without notable changes in body weight, suggesting that physical activity can modulate tumor dynamics. mRNA sequencing post-exercise revealed substantial downregulation of CD300E in the exercise group, accompanied by alterations in critical pathways such as MicroRNAs in cancers and the Calcium signaling pathway. Expanding our analysis to a broader cancer spectrum, CD300E demonstrated significant expression variability across multiple cancer types, with pronounced upregulation in myeloma, ovarian, lung, and colorectal cancers. This upregulation was correlated with poorer prognostic outcomes, emphasizing CD300E's potential role as a prognostic marker and therapeutic target. Moreover, CD300E expression was associated with cancer cell proliferation and apoptosis. The study highlights the dual role of exercise in modulating gene expression relevant to tumor growth and the potential of CD300E as a target in cancer therapeutics. Further research is encouraged to explore the mechanisms by which exercise and CD300E influence cancer progression and to develop targeted strategies that could enhance patient outcomes in clinical settings.

A pan-cancer cuproptosis signature predicting immunotherapy response and prognosis

BackgroundCuproptosis may represent a potential biomarker for predicting prognosis and immunotherapy response, but the available evidence is insufficient. MethodsThe multiple single-cell RNA sequencing (scRNA-seq) datasets were analyzed to investigate the specific occurrence of cuproptosis in distinct cell populations. Utilizing 28 scRNA-seq datasets, TCGA pan-cancer cohort, and 10 immunotherapy cohorts, we developed a cuproptosis signature (Cup.Sig). This signature was used to construct prediction models for immunotherapy response and identify potential prognostic biomarkers for pan-cancer using 11 different machine learning algorithms. ResultsMalignant cells demonstrate the higher cuproptosis scores in comparison to other cell types across diverse cancer types. The Cup.Sig exhibits significant associations with cancer hallmarks and immune cell response in multiple cancer types. Leveraging the Cup.Sig, the robust pan-cancer immunotherapy prediction model and prognostic biomarker have been established and validated using diverse datasets from various platforms. ConclusionsWe developed a pan-cancer cuproptosis signature for predicting survival and immunotherapy response.

A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation

Recently, Computer-Aided Diagnosis (CAD) systems have emerged as indispensable tools in clinical diagnostic workflows, significantly alleviating the burden on radiologists. Nevertheless, despite their integration into clinical settings, CAD systems encounter limitations. Specifically, while CAD systems can achieve high performance in the detection of lung nodules, they face challenges in accurately predicting multiple cancer types. This limitation can be attributed to the scarcity of publicly available datasets annotated with expert-level cancer type information. This research aims to bridge this gap by providing publicly accessible datasets and reliable tools for medical diagnosis, facilitating a finer categorization of different types of lung diseases so as to offer precise treatment recommendations. To achieve this objective, we curated a diverse dataset of lung Computed Tomography (CT) images, comprising 330 annotated nodules (nodules are labeled as bounding boxes) from 95 distinct patients. The quality of the dataset was evaluated using a variety of classical classification and detection models, and these promising results demonstrate that the dataset has a feasible application and further facilitate intelligent auxiliary diagnosis.

Targeted Polymeric Micelles System, Designed to Carry a Combined Cargo of L-Asparaginase and Doxorubicin, Shows Vast Improvement in Cytotoxic Efficacy.

L-asparaginases (ASP) and Doxorubicin (Dox) are both used in the treatment of leukemia, including in combination. We have attempted to investigate if their combination within the same targeted delivery vehicle can make such therapy more efficacious. We assembled a micellar system, where the inner hydrophobic core was loaded with Dox, while ASP would absorb at the surface due to electrostatic interactions. To make such absorption stronger, we conjugated the ASP with oligoamines, such as spermine, and the lipid components of the micelle-lipoic and oleic acids-with heparin. When loaded with Dox alone, the system yielded about a 10-fold improvement in cytotoxicity, as compared to free Dox. ASP alone showed about a 2.5-fold increase in cytotoxicity, so, assuming additivity of the effect, one could expect a 25-fold improvement when the two agents are applied in combination. But in reality, a combination of ASP + Dox loaded into the delivery system produced a synergy, with a whopping 50× improvement vs. free individual component. Pharmacokinetic studies have shown prolonged circulation of micellar formulations in the bloodstream as well as an increase in the effective concentration of Dox in micellar form and a reduction in Dox accumulation to the liver and heart (which reduces hepatotoxicity and cardiotoxicity). For the same reason, Dox's liposomal formulation has been in use in the treatment of multiple types of cancer, almost replacing the free drug. We believe that an opportunity to deliver a combination of two types of drugs to the same target cell may represent a further step towards improvement in the risk-benefit ratio in cancer treatment.

Advanced Lung Cancer Inflammation Index: A Novel Comprehensive Biomarker of Host Status for Patients with Metastatic Colorectal Cancer.

Numerous biomarkers that reflect host status have been identified for patients with metastatic colorectal cancer (mCRC). However, there has been a paucity of biomarker studies that comprehensively indicate body composition, nutritional assessment, and systemic inflammation status. The advanced lung cancer inflammation index (ALI), initially introduced as a screening tool for patients with non-small-cell lung cancer in 2013, emerges as a holistic marker encompassing all body composition, nutritional status, and systemic inflammation status. The index is calculated by the simple formula: body mass index × albumin value / neutrophil-to-lymphocyte ratio. Given its accessibility in routine clinical practice, the ALI has exhibited promising clinical utility in prognosticating outcomes for patients with multiple types of cancer. In this review, we focus on the significance of host status and the clinical applicability of the ALI in the treatment and management of patients with malignancies, including mCRC. We also suggest its potential in guiding the formulation of treatment strategies against mCRC and outline future perspectives.

LINC00518: a key player in tumor progression and clinical outcomes.

Long non-coding RNAs (lncRNAs), defined as RNA molecules exceeding 200 nucleotides in length, have been implicated in the regulation of various biological processes and the progression of tumors. Among them, LINC00518, a recently identified lncRNA encoded by a gene located on chromosome 6p24.3, consists of three exons and is predicted to positively regulate the expression of specific genes. LINC00518 has emerged as a key oncogenic lncRNA in multiple cancer types. It exerts its tumor-promoting effects by modulating the expression of several target genes, primarily through acting as a sponge for microRNAs (miRNAs). Additionally, LINC00518 influences critical signaling pathways, including the Wnt/β-catenin, JAK/STAT, and integrin β3/FAK pathways. Elevated levels of LINC00518 in tumor tissues are associated with increased tumor size, advanced clinical stage, metastasis, and poor survival prognosis. This review provides a comprehensive summary of the genetic characteristics, expression patterns, biological functions, and underlying mechanisms of LINC00518 in human diseases.

Pan‑cancer analysis on the role of KMT2C expression in tumor progression and immunotherapy.

Histone lysine N-methyltransferase 2C (KMT2C) is involved in transcriptional regulation and DNA damage repair. Mutations in KMT2C have been implicated in the progression, metastasis, and drug resistance of multiple cancer types. However, the roles of KMT2C in the regulation of tumor prognosis, immune cell infiltration and the immune microenvironment in these multiple cancer types remain unclear. Therefore, in the present study, data from The Cancer Genome Atlas and Genotype-Tissue Expression databases were used for KMT2C expression analyses. Kaplan-Meier and univariate Cox regression analyses were also performed to investigate the prognostic role of KMT2C. In addition, Gene Set Enrichment Analysis (GSEA) was conducted to study the KMT2C-related signaling pathways. Tumor immune estimation resource 2 and single-sample GSEA were conducted to investigate the correlation between KMT2C expression and immune cell infiltrations, and Spearman's analysis was conducted to study the correlations among KMT2C, tumor mutational burden, microsatellite instability, immune regulators, chemokines and immune receptors. Immunohistochemistry of patient kidney tumor samples was performed to verify the correlation between KMT2C and programmed death-ligand 1 (PD-L1) expression. Finally, RNA interference, wound healing and colony formation assays were conducted to evaluate the effects of KMT2C expression on cell proliferation and metastasis. The results of the present study demonstrated that KMT2C was highly expressed in multiple cancer types, was a protective factor in kidney renal clear cell carcinoma and ovarian serous cystadenocarcinoma, and a risk factor for lung squamous cell carcinoma and uveal melanoma. In addition, KMT2C levels were negatively correlated with immune-activated pathways and the infiltration of immune cells, and positively correlated with inhibitory immune factors and tumor angiogenesis. Patients with low KMT2C expression had higher objective response rates to immunotherapy, and drug sensitivity analysis indicated that topoisomerase, histone deacetylase, DOT1-like histone H3K79 methyltransferase and G9A nuclear histone lysine methyltransferase inhibitors could potentially be used to treat tumors with high KMT2C expression levels. Finally, the KMT2C and PD-L1 expression levels were shown to be positively correlated, and KMT2C knockdown markedly promoted the proliferation and invasion capacities of A549 cells. In conclusion, the present study revealed that low KMT2C expression may be a promising biomarker for predicting the response of patients with cancer to immunotherapy. Conversely, high KMT2C expression was shown to promote tumor angiogenesis, which may contribute to the formation of the immunosuppressive tumor microenvironment.

IGF2BP3 suppresses ferroptosis in lung adenocarcinoma by m6A-dependent regulation of TFAP2A to transcriptionally activate SLC7A11/GPX4.

Ferroptosis is recently discovered as an important player in the initiation, proliferation, and progression of human tumors. Insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) has been reported as an oncogene in multiple types of cancers, including lung adenocarcinoma (LUAD). However, little research has been designed to investigate the regulation of IGF2BP3 on ferroptosis in LUAD. qRT-PCR and western blot were used to measure the mRNA and protein expression of IGF2BP3 and transcription factor AP-2 alpha (TFAP2A). CCK-8 assay was performed to determine cell viability. DCFH-DA and C11-BODIPY staining were used to detect the levels of intracellular reactive oxygen species (ROS) and lipid ROS. The corresponding assay kits were used to analyze the levels of malondialdehyde (MDA) and glutathione (GSH). SRAMP website and m6A RNA immunoprecipitation (Me-RIP) were used to predict and confirm the m6A modification of TFAP2A. RIP experiments were conducted to confirm the binding of IGF2BP3 and TFAP2A. RNA stability assay was performed using actinomycin D. Chromatin immunoprecipitation (ChIP) and dual-luciferase reporter experiments were performed to confirm the interaction between TFAP2A and cystine/glutamate antiporter solute carrier family 7 member 11 (SLC7A11) or glutathione peroxidase 4 (GPX4). Mice xenotransplant model was also constructed to explore the effect of IGF2BP3 on LUAD tumor growth and ferroptosis. IGF2BP3 and TFAP2A were both highly expressed in LUAD. IGF2BP3 or TFAP2A knockdown induced ferroptosis by aggravating erastin-induced cell viability suppression, increasing the production of intracellular ROS, lipid ROS, and MDA, and decreasing GSH synthesis, GSH/GSSG ratio, and cystine uptake. Mechanistically, IGF2BP3 stabilized TFAP2A expression via m6A modification. Moreover, sh-IGF2BP3-mediated ferroptosis was significantly abated by TFAP2A overexpression. Furthermore, TFAP2A binds to the promoters of SLC7A11 and GPX4 to promote their transcription. Also, IGF2BP3 depletion suppressed LUAD tumor growth by inducing ferroptosis in mice. IGF2BP3 suppresses ferroptosis in LUAD by m6A-dependent regulation of TFAP2A to promote the transcription of SLC7A11 and GPX4. Our findings suggest that targeting IGF2BP3/TFAP2A/SLC7A11/GPX4 axis might be a potential therapeutic choice to increase ferroptosis sensitivity in LUAD.